With so many tools to choose from in today’s data engineering development stack as well as operational complexity, this often overwhelms data engineers, causing them to spend less time gleaning value from their data and more time maintaining complex data pipelines. Guided by a lead specialist solutions architect at Databricks with 10+ years of experience in data and AI, this book shows you how the Delta Live Tables framework simplifies data pipeline development by allowing you to focus on defining input data sources, transformation logic, and output table destinations.
This book gives you an overview of the Delta Lake format, the Databricks Data Intelligence Platform, and the Delta Live Tables framework. It teaches you how to apply data transformations by implementing the Databricks medallion architecture and continuously monitor the data quality of your pipelines. You’ll learn how to handle incoming data using the Databricks Auto Loader feature and automate real-time data processing using Databricks workflows. You’ll master how to recover from runtime errors automatically.
By the end of this book, you’ll be able to build a real-time data pipeline from scratch using Delta Live Tables, leverage CI/CD tools to deploy data pipeline changes automatically across deployment environments, and monitor, control, and optimize cloud costs.

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Spis treści

Building Modern Data Applications Using Databricks Lakehouse. Develop, optimize, and monitor data pipelines on Databricks eBook -- spis treści

• 1. An Introduction to Delta Live Tables
• 2. Applying Data Transformations Using Delta Live Tables
• 3. Managing Data Quality Using Delta Live Tables
• 4. Scaling DLT Pipelines
• 5. Mastering Data Governance in the Lakehouse with Unity Catalog
• 6. Managing Data Locations in Unity Catalog
• 7. Viewing Data Lineage Using Unity Catalog
• 8. Deploying, Maintaining, and Administrating DLT Pipelines Using Terraform
• 9. Leveraging Databricks Asset Bundles to Streamline Data Pipeline Deployment
• 10. Monitoring Data Pipelines in Production